Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis
-
the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
-
, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
-
key genetic factors for thermotolerance and alternative carbon utilization, including literature analysis, genetic crosses, and mutant library screening. Apply findings to engineer yeast strains with
-
interaction assays (e.g. BLI, SPR, or similar) Zona pellucida or sperm binding assays CASA or other sperm functional analysis tools Applying recombinant or designed proteins in complex biological environments
-
scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
-
interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
-
, statistical analysis and publication of trial and cohort data. The post also includes teaching, supervision, and performance of other duties. Profile We are looking for a highly motivated and enthusiastic
-
for large-scale immunological and proteomic studies (e.g., Olink, MSD, etc). Lead data analysis and integration of omics datasets, contributing to scientific manuscripts and grant proposals. Provide